Yeong-Hwa Kim Ph.D.

Associate Professor

Department of Statistics

Chung-Ang University

221 Heukseok-Dong, Dongjak-Gu, Seoul 156-756, Korea

Tel: +82-2-820-5229

Fax: +82-2-816-8079

E-mail: gogators at cau dot ac dot kr

 

Research Interests

Statistical Image Processing ; Bayesian Inference

 

Education

¡¤         Ph. D. in Statistics, University of Florida, Gainesville, FL, U.S.A., 08/2000

[ Adviser: Dr. Malay Ghosh

Dissertation Title: Noninformative Priors & Bayesian Inference ]

¡¤         M. S. in Statistics, Chung-Ang University, Korea, 02/1992

¡¤         B. S. in Statistics, Chung-Ang University, Korea, 02/1990

 

Employment

¡¤         09/2002 ~ Present: Associate Professor, Dept. of Statistics, Chung-Ang University

¡¤         09/2000 ~ 08/2002: Senior Researcher, Samsung Research Institute of Finance

¡¤         09/1996 ~ 08/2000: Teaching Assistant, Dept. of Statistics, University of Florida

¡¤         03/1992 ~ 08/1995: Part-time Lecturer, Dept. of Statistics, Chung-Ang University

 

Publications

¡¤         Yeong-Haw Kim and Yong Jun Cho (2008), ¡°Feature and Noise Adaptive Unsharp Masking Based on Statistical Hypotheses Test¡±, IEEE Transactions on Consumer Electronics, 54(2), 823-830.

¡¤         Jaeheon Lee, Yeong-Haw Kim and Jiho Nam (2008), ¡°Adaptive Noise Reduction Algorithms based on Statistical Hypotheses Tests¡±, IEEE Transactions on Consumer Electronics, 54(3), 1406-1414.

¡¤         Yong Jun Cho and Yeong-Haw Kim (2008), ¡°Development of Forecasting Model in Tax Exemption Oil of Fisheries Using Seasonal ARIMA¡±, Journal of the Korean Data & Information Science Society, 19(4), 1037-1046.

¡¤         Yeong-Haw Kim, and Jiho Nam (2008), ¡°Deinterlacing Algorithm based on Statistical Tests¡±, Journal of the Korean Data & Information Science Society, 19(3), 723-734.

¡¤         Yong-Chul Jang, Yeong-Haw Kim and et al. (2008), ¡°Generation, Collection and Management Practices of Used and End-of-life Mobile Phones¡±, Journal of the Korea Society of Waste Management, 25(1), 82-89.

¡¤         Yeong-Haw Kim (2007), ¡°Image Feature Detection and Contrast Enhancement Algorithms Based on Statistical Tests¡±, Journal of the Korean Data & Information Science Society, 18(2), 385-399.

¡¤         Jungeun Hue and Yeong-Haw Kim (2007), ¡°Developing Noninformative Priors for the Familial Data¡±, Journal of the Korean Statistical Society, 36(1), 77-91.

¡¤         Yong Jun Cho and Yeong-Haw Kim (2007), ¡°A Strategy Through Segmentation Using Factor and Cluster Analysis: focusing on corporations having special status¡±, The Korean Journal of Applied Statistics, 20(1), 23-38.

¡¤         Sangkeun Lee, Victor Ha and Yeong-Haw Kim (2006), ¡°Dynamic range compression and contrast enhancement for digital images in the compressed domain¡±, Optical Engineering,45(2), 2205-2216.

¡¤         Yong Jun Cho and Yeong-Haw Kim (2006), ¡°Hybrid Computing Method for Customer Satisfaction Index¡±, The Korean Journal of Applied Statistics, 19(1), 43-55.

¡¤         Yeong-Haw Kim (2006), ¡°A Comparative Study for Several Bayesian Estimators Under Balanced Loss Function¡±, Journal of the Korean Data & Information Science Society, 17(2), 291-300.

¡¤         Yeong-Haw Kim and Jaeheon Lee (2005), ¡°Image Feature and Noise Detection Based on Statistical Hypothesis Testa and Their Applications in Noise Reduction¡±, IEEE Transactions on Consumer Electronics, 51(4), 1367-1378.

¡¤         Myung Joon Kim and Yeong-Haw Kim (2005), ¡°Asymptotic Mean Squared Error of Positive Part James-Stein Estimators¡±, Journal of the Korean Statistical Society, 34(2), 99-108.

¡¤         Yeong-Haw Kim and Jinam Lee (2005), ¡°A Comparative Study for Several Bayesian Estimators Under Squared Error Loss Function¡±, Journal of the Korean Data & Information Science Society, 16(2), 371-382.

¡¤         Chun G.Park, Yeong-Haw Kim, Wan Y. Yang (2004), ¡°Determinancy on a maximum resolution in wavlet series¡±, Journal of the Korean Data & Information Science Society, 15(2), 467-476.

¡¤         Yeong-Haw Kim and Eunsun Sohn (2004), ¡°Developing Noninformative Priors for the Common Mean of Several Normal Populations¡±, Journal of the Korean Data & Information Science Society, 15, 59-74.

¡¤         Yeong-Haw Kim, Chun G.Park, Myung Joon Kim and Wan Y. Yang (2004), ¡°Some Remarks on the Likelihood Inference for the Ratios of Regression Coefficients in Linear Model¡±, Journal of the Korean Data & Information Science Society, 15, 251-261.

¡¤         Chun G.Park, Yeong-Haw Kim, Wan Y. Yang (2004), ¡°Posterior Inference in Single-Index Models¡±, Communications of the Korean Statistical Society, 11, 161-168.

¡¤         Malay Ghosh, Ming Yin and Yeong-Haw Kim (2003), ¡°Objective Bayesian Inference for Ratios of Regression Coefficients in Linear Models¡±, STATISTICA SINICA, 13, 409-422.

¡¤         Yeong-Haw Kim and Jungeun Hue (2002), ¡°Developing Noninformative Priors for Parallel-Line Bioassay¡±, Communications of the Korean Statistical Society, 9, 401-410.

¡¤         Malay Ghosh, Gauri Datta and Yeong-Haw Kim (2002), ¡°Probability matching priors for one-way unbalanced random effect models¡±, Statistics & Decisions, 20, 29-51.

¡¤         Malay Ghosh and Yeong-Haw Kim (2001), ¡°The Behrens-Fisher Problem Revisited: A Bayes-Frequentist Synthesis¡±, The Canadian Journal of Statistics, 29(1), 5-17.

¡¤         Malay Ghosh and Yeong-Haw Kim (2001), ¡°Interval Estimation of the Common Mean of Several Normal Populations: A Bayes-Frequentist Synthesis¡±, Data Analysis from Statistical Foundations, he Canadian Journal of Statistics, Chapter 4, 277-294.

 

PATENTS

¡¤         À̹ÌÁö/³ëÀÌÁî ÆǺ°À» À§ÇÑ Åë°èÀû ¿µ»óó¸® ½Ã½ºÅÛ ¹× ¹æ¹ý (2005), ´ëÇѹα¹ ƯÇã Á¦ 10-0726351.

¡¤         Statistical Image Processing Sysytem and Method for Image/Noise Feature Detection (2006), U.S.A. Patent pending #11/603252, Case #6668-000025/US.

¡¤         Statistical Image Processing Sysytem and Method for Image/Noise Feature Detection (2006), Japanese Patent pending #2006-322416.

 

Teaching

¡¤         Elementary Statistics (for Undergraduate)

¡¤         Bayesian Statistics (for Undergraduate)

¡¤         Applied Statistics (for Graduate)

¡¤         Linear Models (for Graduate)

¡¤         Bayesian Inference (for Graduate)

¡¤         Mathematical Statistics (for Graduate)

 

LiNKS

¡¤         Dept. of Statistics: CAU, UF-Stat

¡¤         Libraries: CAU

 

Last Updated: March, 2009